Kenneth L. Clarkson
Artificial Intelligence · 2005–2012
A researcher in the Science corpus: 5 papers; trusts 62 researchers and is trusted by 130 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it; #1,505 of 35,345 by trust here, #7,310 by citations
- Computational Mechanics — 19 citations into it; #134 of 10,001 by trust here, #937 by citations
- Computer Vision and Pattern Recognition — 18 citations into it; #2,884 of 21,575 by trust here, #7,092 by citations
- Computational Theory and Mathematics — 16 citations into it; #1,320 of 12,182 by trust here, #3,681 by citations
- Signal Processing — 14 citations into it; #1,833 of 7,572 by trust here, #4,051 by citations
- Computer Networks and Communications — 9 citations into it
- Algorithms & Complexity — 8 citations into it
- Computational Mathematics — 8 citations into it
Whom Kenneth L. Clarkson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Petros Drineas
- Tamás Sarlós
- S. Muthu Muthukrishnan
- Balázs Kégl
- Michael W. Mahoney
- Gonzalo Navarro
- Teofilo F. Gonzalez
- Arindam Banerjee
- Sariel Har-Peled
- William W. Pugh
Who trusts Kenneth L. Clarkson overall
- David P. Woodruff
- Shai Shalev-Shwartz
- Martin Jaggi
- Dan Feldman
- Dan Garber
- Zhao Song
- Michael W. Mahoney
- Thomas Kerdreux
- Guanghui Lan
- Alexander G. Gray
Papers from Kenneth L. Clarkson's perspective
Ordered by how strongly the researchers Kenneth L. Clarkson trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm (2008) — 479 citations
- Numerical linear algebra in the streaming model (2009) — 403 citations
- Low-Rank Approximation and Regression in Input Sparsity Time (2012) — 732 citations
- Nearest-Neighbor Searching and Metric Space Dimensions (2005) — 246 citations
- Subgradient and sampling algorithms for l1 regression (2005) — 89 citations